In Master-driven TDD based Bluetooth, active Slaves should always listen in the Master-Slave slots because a Slave can transmit packets only after the master polls the Slave. This paper proposes an efficient power management policy to minimize the receiving power which is unnecessarily wasted in Bluetooth. The proposed policy is not controlled by LM (Link manager) protocol, does not need the information about Master-Slave buffers, and guarantees that Slave is in a receive state at Master's polling time. Therefore, there is no degradation of throughput by the proposed policy. The mathematical analysis is carried out in order to investigate our proposed policy. The numerical results show that the proposed policy significantly reduces power consumption over the nave Bluetooth specification.

Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.